The role of artificial intelligence in aortic valve stenosis: a bibliometric analysis by Shanshan Chen, Shanshan Chen, Changde Wu, Zhaojie Zhang, Lingjuan Liu, Yike Zhu, Dingji Hu, Chenhui Jin, Haoya Fu, Jing Wu, Songqiao Liu, Songqiao Liu, Songqiao Liu

“…The results highlight the growing impact of AI in AVS, particularly in cardiac imaging and predictive modeling. Core authors and institutions, primarily from the U.S. and Germany, are driving research in this field. …”
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Integrating Macroeconomic and Technical Indicators into Forecasting the Stock Market: A Data-Driven Approach by Saima Latif, Faheem Aslam, Paulo Ferreira, Sohail Iqbal

“…We propose three hybrid deep learning models that sequentially combine convolutional and recurrent neural networks for improved feature extraction and predictive accuracy. These models include the deep belief network with gated recurrent units, the LeNet architecture with gated recurrent units, and the LeNet architecture combined with highway networks. …”
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A simple model of HIV epidemic in Italy: The role of the antiretroviral treatment by Federico Papa, Francesca Binda, Giovanni Felici, Marco Franzetti, Alberto Gandolfi, Carmela Sinisgalli, Claudia Balotta

“…The values of the model parameters not reported in the literature are assessed by fitting available epidemiological data over the decade $2003 \div 2012$. Predictions until year 2025 are computed, enlightening the impact on the public health of the early initiation of the antiretroviral therapy. …”
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The Time Effect and Micromechanism of the Unconfined Compressive Strength of Cement Modified Slurries by Ping Jiang, Yewen Chen, Lin Zhou, Tianhao Mao, Wei Wang, Junping Yuan, Na Li

“…The time effect model better characterized the relationship between the UCS of the CMS and the curing age and the cement content, as the predicted value had a high correlation with the measured value. …”
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Epigenetic Markers of Renal Function in African Americans by Samantha M. Bomotti, Jennifer A. Smith, Alicia L. Zagel, Jacquelyn Y. Taylor, Stephen T. Turner, Sharon L. R. Kardia

“…However, six epigenetic markers were still able to significantly predict eGFR after adjustment for other risk factors. …”
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Modelling COVID-19 in the North American region with a metapopulation network and Kalman filter by Matteo Perini, Teresa K. Yamana, Marta Galanti, Jiyeon Suh, Roselyn Kaondera-Shava, Jeffrey Shaman

“…Background: Understanding the dynamics of infectious disease spread and predicting clinical outcomes are critical for managing large-scale epidemics and pandemics, such as COVID-19. …”
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Artificial neural network forecast application for fine particulate matter concentration using meteorological data by M. Memarianfard, A.M. Hatami, M. Memarianfard

“…Factors which are influencing the predicted value consist of weather-related and air pollution-related data, i.e. wind speed, humidity, temperature, SO2, CO, NO2, and PM2.5 as target values. …”
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Criteria for Assessing Exposure to Biomechanical Risk Factors: A Research-to-Practice Guide—Part 2: Upper Limbs by Francesca Graziosi, Roberta Bonfiglioli, Francesco Decataldo, Francesco Saverio Violante

“…To apply them effectively in the field, an in-depth knowledge of each methodology and a solid understanding of their actual predictive value and limitations are required. In this two-part guide, we discuss methods that have a solid scientific background, are based on expert consensus, and that do not require disproportionate technical, material, financial, and time resources. …”
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Procalcitonin and C-reactive protein - early predictors of low colorectal anastomotic leakage by Yu. A. Shelygin, M. A. Tarasov, M. A. Sukhina, I. V. Zarodnyuk, Ye. G. Rybakov

“…AL rate, difference in PCT and CRP levels in patients with AL and consistent anastomosis were assessed along with sensitivity, specificity, positive and negative predictive value of these markers. Results. AL was diagnosed in 20% (20 of 100) of patients: in 11% (11 of 100) - with clinical manifestations, in 9% (9 of 100) - without clinical symptoms (contrast leakage according to X-ray study). …”
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Correlation between Chest CT Severity Scores and the Clinical Parameters of Adult Patients with COVID-19 Pneumonia by Ghufran Aref Saeed, Waqar Gaba, Asad Shah, Abeer Ahmed Al Helali, Emadullah Raidullah, Ameirah Bader Al Ali, Mohammed Elghazali, Deena Yousef Ahmed, Shaikha Ghanam Al Kaabi, Safaa Almazrouei

“…Our data suggest that chest CT scoring system can aid in predicting COVID-19 disease outcome and significantly correlates with lab tests and oxygen requirements.…”
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Review and Outcome of Prolonged Cardiopulmonary Resuscitation by Houssein Youness, Tarek Al Halabi, Hussein Hussein, Ahmed Awab, Kellie Jones, Jean Keddissi

“…Young age, myocardial infarction, and potentially reversible causes of cardiac arrest such as hypothermia and pulmonary emboli predict a favorable result, especially when the arrest is witnessed and followed by prompt and good resuscitative efforts.…”
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The Role of Atmospheric Composition in Defining the Habitable Zone Limits and Supporting <i>E. coli</i> Growth by Asena Kuzucan, Emeline Bolmont, Guillaume Chaverot, Jaqueline Quirino Ferreira, Bastiaan Willem Ibelings, Siddharth Bhatnagar, Daniel Frank McGinnis

“…This innovative combination of climate modeling and biological experiments bridges theoretical climate predictions with biological outcomes. Our findings indicate that atmospheric composition significantly affects bacterial growth patterns, highlighting the importance of considering diverse atmospheres in evaluating exoplanet habitability and advancing the search for life beyond Earth.…”
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Mind Over Waste: Decoding the Mental Models of Hard-to-Reach in Household Waste Practices by Bremane Inguna, Liberova Veronika, Bezrucko Alise Egija, Blumberga Dagnija, Blumberga Andra

“…The Mental Modeler tool is used to predict behavioural patterns of different consumer groups and simulate the impact of various scenarios on these behaviours. …”
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Characterizing out-of-distribution generalization of neural networks: application to the disordered Su–Schrieffer–Heeger model by Kacper Cybiński, Marcin Płodzień, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid

“…Here, we show how the informed use of an interpretability method called class activation mapping, and the analysis of the latent representation of the data with the principal component analysis can increase trust in predictions of a neural network (NN) trained to classify quantum phases. …”
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Assessment and application of tropical cyclone clustering in the South China Sea by Yan Yan, Nergui Nanding, Xiaomeng Li, Yifan Shi, Bing Chen

“…This observation highlights the important role that ENSO plays in shaping the behavior of TCs and provides valuable information for predicting and preparing for these events. Understanding the unique characteristics of each cluster can help authorities and communities in the region better prepare for and respond to the potential impacts of TCs.…”
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Survey to Evaluate Escape of Eucalyptus spp. Seedlings from Plantations in Southeastern USA by Mac A. Callaham, John A. Stanturf, William J. Hammond, Donald L. Rockwood, Evelyn S. Wenk, Joseph J. O'Brien

“…All seedlings from Florida were either E. amplifolia, E. robusta, or E. grandis. The most predictive variable evaluated was latitude, with 27°N being the highest latitude at which seedlings established with regularity. …”
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A Concept Mapping Study of Physicians’ Perceptions of Factors Influencing Management and Control of Hypertension in Sub-Saharan Africa by Juliet Iwelunmor, Sarah Blackstone, Joyce Gyamfi, Collins Airhihenbuwa, Jacob Plange-Rhule, Bamidele Tayo, Richard Adanu, Gbenga Ogedegbe

“…Hypertension, once a rare problem in Sub-Saharan Africa (SSA), is predicted to be a major cause of death by 2020 with mortality rates as high as 75%. …”
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A novel frameshift variant of GATA3 (p.Ala17ProfsTer178) responsible for HDR syndrome in a Japanese family by Yutaka Hasegawa, Toshie Segawa, Ai Chida, Eriko Yoshida, Hirofumi Kinno, Hiraku Chiba, Tomoyasu Oda, Yoshihiko Takahashi, Koji Nata, Yasushi Ishigaki

“…This review of literature provides a useful reference for diagnosing HDR syndrome and predicting the related future manifestations.…”
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The Development of Alternative Dosage Form for Creatine Monohydrate: A Floating Tablet by Arifatu Nur Hidayah, Anas Ardiana Wati, Nunung Yuniarti, Marlyn Dian Laksitorini

“…Verification of the optimum formula showed that tablet parameters were not significantly different from the predicted formula. The studies suggest that this prototype can be developed to increase creatine residence time in the stomach.…”
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A distributed photovoltaic short‐term power forecasting model based on lightweight AI for edge computing in low‐voltage distribution network by Yuanliang Fan, Han Wu, Jianli Lin, Zewen Li, Lingfei Li, Xinghua Huang, Weiming Chen, Jian Zhao

“…Therefore, the operational status of distributed photovoltaic systems in low‐voltage distribution network becomes difficult to predict. However, edge computing in the distribution network enable local processing of data to improve the real‐time and reliability of the forecasting service. …”
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